The role of seasonality is indisputable in climate and ecosystem dynamics. Seasonal
temperature and precipitation variability are of vital importance for the availability of food …

Conspectus Femtosecond spectroscopy has revealed coherent wave packet motion time
and time again, but the question as to whether these coherences are necessary for reactivity …

Abstract Algorithms based on Empirical Mode Decomposition (EMD) and Iterative Filtering
(IF) are largely implemented for representing a signal as superposition of simpler well …

Typical microseismic data recorded by surface arrays are characterized by low signal-to-
noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events …

The synchrosqueezing transform (SST) is a novel approach for time-frequency (TF)
representation of non-stationary signals. By synchrosqueezing and reassigning the TF …

We introduce a nondiagonal seismic denoising method based on the continuous wavelet
transform with hybrid block thresholding (BT). Parameters for the BT step are adaptively …

We have introduced a novel time-frequency decomposition approach for analyzing seismic
data. This method is inspired by the newly developed variational mode decomposition …

A new method is proposed to determine the time–frequency content of time-dependent
signals consisting of multiple oscillatory components, with time-varying amplitudes and …

The past few decades have witnessed remarkable growth in the application of passive
seismic monitoring to address a range of problems in geoscience and engineering, from …

Random and coherent noise exists in microseismic and seismic data, and suppressing
noise is a crucial step in seismic processing. We have developed a novel seismic denoising …